质量工程师，机架基础设施与站点运营
Quality Engineer, Rack Infrastructure & Site Operations
关于团队
OpenAI 与我们的资本和技术合作伙伴合作，正在构建一个全球先进的数据中心网络，以支持最苛刻的 AI 工作负载。工业计算团队确保所有数据中心系统按照最高质量、可靠性和性能标准进行制造、交付和调试。
我们与制造合作伙伴、工程团队和运营人员紧密合作，确保每个组件都能随时安装、启动和长期服务。
关于职位
我们正在寻找一位经验丰富的质量工程师（QE），在 OpenAI 的基础设施生态系统中推动产品和站点质量计划。在此职位上，您将建立、实施并管理覆盖我们全球供应链网络的全面质量驱动计划，确保从设计到部署的卓越品质。
您将负责最终产品的全流程质量，以及维护和提升制造站点的质量标准。与设计（NPI）和工程团队跨职能合作，您将帮助实现首次通过率（FPY）、质量和可靠性目标。这包括领导站点和夹具验证工作，推动产量改进计划（Yield Bridge、CPI），并实施强有力的纠正和预防措施（CAPA）以解决根本原因。
此外，您将在供应商质量管理中发挥关键作用，评估和认证新供应商，监督持续的供应商绩效，并确保为未来的业务奖项做好准备。您将领导供应商审核，监控关键绩效指标，并协调纠正措施，以确保可预测的交付时间表、降低运营风险并提高系统可靠性。
通过与外部供应商和内部工程及运营相关方密切合作，您将帮助确保 OpenAI 的数据中心基础设施按时交付，符合最高质量标准，并支持可靠、可扩展的运营。
主要职责
- 开发并建立以数据中心为重点的制造质量计划，支持全球部署时间表。
- 进行供应商能力评估、质量审计，并在生产、测试和交付阶段提升供应商绩效。
- 制定并跟踪质量指标，评估制造绩效，识别趋势，并努力优化流程、培训和质量控制以提升整体水平。
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About the Team
OpenAI, in partnership with our capital and technology partners, is building a global network of advanced datacenters to support the most demanding AI workloads. The Industrial Compute team ensures that all datacenter systems are manufactured, delivered, and commissioned to the highest standards of quality, reliability, and performance.
We work closely with manufacturing partners, engineering teams, and operations staff to ensure that every component is delivered ready for installation, startup, and long-term service.
About the Role
We are seeking an experienced Quality Engineer (QE) to drive Product and Site Quality initiatives across OpenAI’s infrastructure ecosystem. In this role, you will establish, implement, and manage a comprehensive, quality-focused program across our global supply chain network, ensuring excellence from design through deployment.
You will be responsible for end-to-end quality of finished products, as well as maintaining and elevating manufacturing site quality standards. Working cross-functionally with Design (NPI) and Engineering teams, you will help achieve First Pass Yield (FPY), quality, and reliability targets. This includes leading site and fixture validation efforts, driving yield improvement initiatives (Yield Bridge, CPI), and implementing robust corrective and preventive actions (CAPA) to resolve issues at their root cause.
In addition, you will play a key role in supplier quality management, assessing and qualifying new vendors, overseeing ongoing supplier performance, and ensuring readiness for future business awards. You will lead vendor audits, monitor key performance metrics, and coordinate corrective actions to ensure predictable delivery schedules, reduced operational risk, and high system reliability.
By partnering closely with external suppliers and internal Engineering and Operations stakeholders, you will help ensure OpenAI’s datacenter infrastructure is delivered on time, meets the highest quality standards, and supports reliable, scalable operations.
Key Responsibilities
- Develop and establish a datacenter-focused manufacturing quality program that supports global deployment schedules.
- Conduct vendor capability assessments, quality audits, and improve vendor performance across production, testing, and delivery phases.
- Develop and track quality metrics to assess manufacturing performance and identify trends and work to refine processes, training, and quality controls to mitigate deployment risks.
- Establish effective cross-functional communication between manufacturing sites, datacenter design teams, and operations.
- Collaborate with engineering, sourcing, and site operations to establish quality processes and standards with project goals.
- Mentor supplier teams and provide structured feedback to drive continuous improvement.
- Audit quality activities at supplier sites to verify compliance with requirements and lead corrective and preventive action plans for audit findings and quality nonconformances.
- Facilitate root cause analysis and drive systemic process improvements for recurring manufacturing issues and DC quality and reliability issues.
Travel
- Domestic and international travel as needed (estimated 30%) to manufacturing sites, datacenter locations, and partner facilities.
Qualifications
- 10+ years in manufacturing quality management, supplier quality engineering, process improvement, or datacenter engineering/operations.
- Bachelor’s degree in engineering, manufacturing, construction management, or related field (or equivalent work experience).
- Demonstrated ability to analyze data, solve problems, and improve manufacturing processes.
- Proven track record managing deliverables for complex projects or supplier programs.
- Strong communication skills with experience influencing both technical and executive audiences.
Preferred Skills
- Technical knowledge of datacenter infrastructure systems, including mechanical, electrical, and compute components.
- Experience in supplier performance management for mission-critical facilities.
- ASQ Certified Quality Engineer, Quality Manager, Quality Auditor or Lean Six Sigma certified Green Belt.
- PMP or equivalent project management certification.
- Experience in industrial or high-volume manufacturing environments.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
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